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The Product ⇔ Customer Support Partnership

Posted on January 4, 2024

Bihan Jiang
Director of Product

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Why Every Product Team Should Closely Partner with Support

Deflection, CSAT, and the Voice of the Customer

Every product team wants to build impactful products that solve real customer problems. But one of the most valuable sources of insight is often underutilized: your support team.

Support teams interact with customers daily and hear firsthand about frustrations, edge cases, and unmet needs. Yet, product teams often view support as a reactive function instead of a strategic partner. This overlooks critical opportunities to improve products and the customer experience.

By partnering with support and tracking key metrics like ticket deflection and customer satisfaction (CSAT), product teams can make smarter decisions, deliver better products, and ultimately drive greater impact.

Turn Support Insights into Action

Over the past few years as a PM, I spent a significant time reading and responding to support tickets. Support tickets provide an unfiltered lens into the everyday challenges your customers face. One of the most impactful processes I implemented was a weekly product-support review, where we:

  • Reviewed Data Together: Reviewed high level themes and individual conversations to spot issues.
  • Prioritized Quick Wins: Identified usability issues, bugs, and unclear or missing documentation that could be resolved quickly.
  • Tracked Trends Over Time: Used recurring themes to inform long-term product strategy and roadmaps.

In one session, we identified repeated complaints about a verification step during onboarding. Testing hadn’t flagged this issue, but fixing it immediately reduced customer frustration and improved onboarding completion rates.

However, support isn’t just about fixing problems—it’s also a goldmine for discovering how users creatively interact with your product.

In another review, we discovered that some users were repurposing an API endpoint in unexpected ways. This initially seemed like an edge case but turned into an opportunity to build a robust new workflow that expanded the product’s appeal.

Leverage Metrics That Matter

Support data isn’t just noise, it’s a measurable reflection of product health. At Decagon, we’ve seen growing interest from product teams in using support data to measure and improve their product's success.

Metrics like deflection rates (how often a user finds an answer without creating a support ticket) and CSAT scores (customer satisfaction) offer clear, measurable signals about product quality and user experience.

For example:

  • A drop in CSAT after a feature launch might indicate poor usability or missing documentation.
  • High deflection in a particular product area might signal that your self-serve features and help content are working well.

The support org can help product teams identify the features that are driving satisfaction—or frustration—and provide actionable feedback to improve product adoption.

Capturing the "Voice of the Customer"

Support tickets, when aggregated and analyzed, are the closest thing to a live stream of your customers' needs and frustrations.

PMs often rely on feature requests, surveys, or user interviews to inform their roadmap, but those methods are incomplete without incorporating the “voice of the customer” from support.

At Decagon, we built tools to aggregate support interactions and surface trends:

  • Identify Hotspots: Find recurring issues or features driving escalations.
  • Spot Sentiment Trends: Track how customers respond to new features or updates.
  • Expand Product Opportunities: Pinpoint unmet needs that can inspire new features or enhancements.

This has allowed product teams to take proactive action to improve customer experience and reduce operational burden on support.

Building a Strong Product and Support Partnership

Great products emerge when product and support teams work together. The best product teams don’t just look at usage metrics or listen to loud customers—they dig deep into the realities of how their product is being used (and sometimes “misused”) by spending time with support.

Support data is a direct window into this by helping uncover pain points, discovering edge cases, and highlighting opportunities to build better products.

If you want to deliver products that truly delight users and scale successfully, start by sitting closer to your support organization. Pay attention to deflection, care about CSAT, and allow the voice of the customer to inform your roadmap.

“With Decagon Voice, we’re able to combine high performance and seamless brand customization with cross-channel memory, ensuring every interaction is connected and true to Chime’s member-first values.”
Janelle Sallenave
Chief Operating Officer

Start improving your workflow with Decagon

With Decagon, CX teams don’t have to guess whether a change will improve CSAT or deflection. They can move quickly, measure what matters, and act on what works.

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Join us

There are very few places where you can prototype with frontier LLMs, ship to production in days, and watch users engage with the systems you built—all while owning the entire stack, from intent parsing and tool usage to API integration and observability. This role at Decagon is one of those places.

From my own experience working across both agent development and broader engineering initiatives at Decagon, I’ve seen firsthand how uniquely impactful this work can be. Whether I’m building intelligent workflows for customers or designing infrastructure that supports our agent platform, it’s rare to find an environment where the work transitions from concept to production within days, actively powering user experiences and transforming how businesses operate.

If you’re looking for a role where you can:

  • Build at the frontier of LLMs, automation, and user interaction
  • Deploy AI agents that solve high-value business use cases across industries including retail, travel and hospitality, fintech, edtech, and more
  • Work directly with customers on high-impact use cases
  • Ship fast, iterate constantly, and own your work from idea to production
  • Join a fast-moving, collaborative team solving real-world challenges with AI

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